Sony Interactive Entertainment Inc.

Zhenhao Ge

Lakshmish Kaushik

Masanori Omote

Saket Kumar

Todd Tokubo

Mahdi Azmandian

Xiaoyu Liu

Matthew Bennett

Brendan Rehon

Joshua M Eads

The performance of a player of a computer game is noted and the player accorded a latency handicap based thereon. The latency handicap is used to slow down play of the computer game, preferably only during times of high player activity. The latency handicap can be reduced over time or owing to improvement in the player's performance.

Adaptive time dilation based on player performance

Techniques are described for training neural networks on variable length datasets. The numeric representation of the length of each training sample is randomly perturbed to yield a pseudo-length, and the samples sorted by pseudo-length to achieve lower zero padding rate (ZPR) than completely randomized batching (thus saving computation time) yet higher randomness than strictly sorted batching (thus achieving better model performance than strictly sorted batching).

Semi-sorted batching with variable length input for efficient training

A wake-up word for a digital assistant may be specified by a user to trigger the digital assistant to respond to the wake-up word, with the user providing one or more initial pronunciations of the wake-up word. The wake-up word may be unique, or at least not determined beforehand by a device manufacturer or developer of the digital assistant. The initial pronunciation(s) of the keyword may then be augmented with other potential pronunciations of the wake-up word that might be provided in the future, and those other potential pronunciations may then be pruned down to a threshold number of other potential pronunciations. One or more recordings of the initial pronunciation(s) of the wake-up may then be used to train a phoneme recognizer model to better recognize future instances of the wake-up word being spoken by the user or another person using the initial pronunciation or other potential pronunciations.

Phoneme recognizer customizable keyword spotting system with keyword adaptation

Customizable keyword spotting system with keyword adaptation

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San Mateo, CA, United States of America

Zhenhao Ge